MP346VITAMIND DEFICIENCY AND ELEVATED PTH BUT NOT FGF-23 PREDICT ALL-CAUSE MORTALITY IN PEOPLE WITH CKD STAGE 3 IN PRIMARY CARE
Bibliographic record
Abstract
Introduction and Aims: Vitamin D deficiency, elevated fibroblast growth factor (FGF)-23 and elevated parathyroid hormone (PTH) have each been associated with increased mortality in people with chronic kidney disease (CKD). We have previously reported that in CKD stage 3, FGF-23 becomes elevated early in people who are vitamin D replete, but PTH becomes elevated earlier in those with vitamin D deficiency or insufficiency. In this analysis, we aimed to evaluate the relative importance of vitamin D deficiency, elevated PTH and elevated FGF-23 as risk factors for all-cause mortality in people with CKD stage 3 recruited from primary care. Methods: 1,741 people were prospectively recruited from 32 local primary care practices. All participants had CKD stage 3 prior to study entry (2 eGFR measurements in the range 30-59 ml/min/1.73m2 at least 90 days apart.). Demographic and medical details, anthropometric measurements, urine and serum biochemistry were collected at baseline, year 1 and year 5 follow-up visits. Date and cause of death was obtained from the office of national statistics. 25(OH)Vitamin D, PTH and FGF-23 were measured in serum (stored at -80C) from the baseline visit.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".